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No consensus has emerged on how to deal with overnight returns when calculating realized volatility in markets where trading does not take place 24 hours a day. This paper explores several common volatility applications, investigating how the chosen treatment of overnight returns affects the...
Persistent link: https://www.econbiz.de/10013008710
-form volatility modeling and forecasting as well as testing for the presence of jumps …
Persistent link: https://www.econbiz.de/10014202215
Stock market volatility clusters in time, appears fractionally integrated, carries a risk premium, and exhibits asymmetric leverage effects relative to returns. At the same time, the volatility risk premium, defined by the difference between the risk-neutral and objective expectations of the...
Persistent link: https://www.econbiz.de/10014190565
Stock market volatility clusters in time, appears fractionally integrated, carries a risk premium, and exhibits asymmetric leverage effects relative to returns. At the same time, the volatility risk premium, defined by the difference between the risk-neutral and objective expectations of the...
Persistent link: https://www.econbiz.de/10013144799
Predicting the one-step-ahead volatility is of great importance in measuring and managing investment risk more accurately. Taking into consideration the main characteristics of the conditional volatility of asset returns, I estimate an asymmetric Autoregressive Conditional Heteroscedasticity...
Persistent link: https://www.econbiz.de/10012910129
This article studies the risk forecasting properties of three realized volatility models for three Chinese individual stocks, and reveals the important role that jumps can play in risk prediction. I firstly investigate dynamic pattern of jumps in three Chinese stocks, and find that relative to...
Persistent link: https://www.econbiz.de/10013131542
This article presents a comprehensive analysis of the relative ability of three information sets --- daily trading volume, intraday returns and overnight returns --- to predict equity volatility. We investigate the extent to which statistical accuracy of one-day-ahead forecasts translates into...
Persistent link: https://www.econbiz.de/10013095770
We propose a nonparametric method to study which characteristics provide incremental information for the cross section of expected returns. We use the adaptive group LASSO to select characteristics and to estimate how they affect expected returns nonparametrically. Our method can handle a large...
Persistent link: https://www.econbiz.de/10011888693
The risk return relationship is analysed in bivariate models for return and realised variance (RV) series. Based on daily time series from 21 international market indices for more than 13 years (January 2000 to February 2013), the empirical findings support the arguments of risk return tradeoff,...
Persistent link: https://www.econbiz.de/10012904964
done through the Generalized Variance Decomposition of Diebold & Yilmaz and the time-frequency dynamics framework of …
Persistent link: https://www.econbiz.de/10012864336